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Azure Data Engineer – £75,000 – £85,000 – London / Hybrid
Overview
Our Client-Partner operating in the Media Sector is seeking an experienced Azure Data Engineer to join their team!
- Are you a certified Azure Data Engineer Associate?
- Do you live within a commutable distance to London?
- Data flow: Design, build and maintain data pipelines, APIs and protocols as needed to implement and improve strategy.
- Data Storage: Design, build and maintain best-in-class data storage solutions best suited to the business requirements and all data types, whether structured, unstructured, large or small, rapid access or cold storage, and including meta-data, hierarchies and ontologies.
- AI at scale: Facilitate maintenance and update of AI models across all shows and locations. Ensure data is fit for purpose as required by AI models.
- Cloud management: Support the team in managing the cloud infrastructure ensuring data integrity, security and access control while facilitating relevant access.
- Automating processes: Identify opportunities for automation and implement best-in-class solutions that are both robust and scalable.
- Scaling-up: Actively support and co-maintain best practices in DataOps and ML Ops starting with micro services.
- Decision-support tools: Support data analytics leaders in designing, building and maintaining decision-support tools such as dashboards and automated notification solutions.
- Technology Evolution: Stay up-to-date with latest trends in cloud-based data engineering and development.
- Relationship Building and influencing: Work closely with other teams in the organisation to identify needs and support overall success of the business.
Skills and Requirements
- Expert level experience working with Azure, including ADF, Synapse, Power Automate, Purview and virtual machines.
- Azure Data Engineer Associate certification.
- Familiarity with MACH frameworks (Microservices, API-based, Cloud first, Headless)
- Hands on programming skills, preferably on Python and JS, as well as data formats such as JSON and XML.
- Experience with deployment of production-level data and software solutions.
- Specific experience building data relay-type layers, and its associated protocols, to integrate data flows from and to multiple third parties.
- Interest on and exposure to on Generative AI are beneficial.
- Desired exposure to modern metadata management, ontologies and knowledge graphs.
How to apply?
Get in contact with Digital Republic Talent by sending an email to [email protected] or calling +1 737 2567409. Check our Job Vacancies page for more job opportunities.News & Insights
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